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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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experience with CI/CD pipelines (e.g., using GitHub/GitLab) experience with Linux command-line environments (including remote systems via SSH) and Windows interest in modern software engineering practices
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ
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advantageous, Familiarity with Git and Linux, Excellent written and spoken English skills, with a willingness to learn German. Preferred qualifications Experience in Scientific Research, Familiarity with Physics
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experiences (favorable using Linux OS) Desirable: experiences in sequence bioinformatics and working with NGS data Basic skills in GIS (ArcGIS Pro or QGIS) Sound skills in statistical data analysis (R
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project management skills strong programming experience (e.g. Python, Linux Bash scripting, CDO). expertise in processing large-scale data sets, especially NetCDF files is a plus specialist knowledge in
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handling via APIs such as Search/Retrieve via URL (SRU). Experience in working on Linux VMs. Experience in working with version control systems such as Git. High degree of self-organisation and independent